Moritz Laass
ABSTRACT
Recent generations of GPUs have seen the introduction of hardware-accelerated ray tracing algorithms that are suitable for real-time use. They provide hardware for massively parallel ray-geometry intersection computations, indicating a highly optimized spatial data structure derived from arbitrary triangle-based geometries. Spatial join is an ubiquitous problem in spatial databases, GIS applications, spatial statistics, and similar applications. On a fundamental level, spatial joins are based on point in polygon tests (PIP). We suggest exploiting the capabilities of ray tracing hardware to perform fast parallel point in polygon tests in order to implement hardware-accelerated spatial joins.
- Edwin H. Jacox and Hanan Samet. [n.d.]. Spatial join techniques. 32, 1 ([n. d.]), 7-es. https://doi.org/10.1145/1206049.1206056Google Scholar
Digital Library
- Steven G. Parker, James Bigler, Andreas Dietrich, Heiko Friedrich, Jared Hoberock, David Luebke, David McAllister, Morgan McGuire, Keith Morley, Austin Robison, and Martin Stich. [n.d.]. OptiX: a general purpose ray tracing engine. 29, 4 ([n. d.]), 66:1--66:13. https://doi.org/10.1145/1778765.1778803Google ScholarDigital Library
- M. Shimrat. [n.d.]. Algorithm 112: Position of point relative to polygon. 5, 8 ([n. d.]), 434. https://doi.org/10.1145/368637.368653Google ScholarDigital Library
Index Terms
- Point in Polygon Tests Using Hardware Accelerated Ray Tracing
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